Ran Gu

1.0k citations
35 papers · 768 · h-index 18

Impact in

Papers in

    • Plant Reproductive Biology 8
    • Photosynthetic Processes and Mechanisms 7
    • Nicotinic Acetylcholine Receptors Study 3
    • Plant Molecular Biology Research 11

Ran Gu

33 papers receiving 758 citations

Peers

Ran Gu
Comparison fields: 5 of 81
  • Horticulture 31
  • Plant Science 363
  • Cancer Research 146
  • Molecular Biology 469
  • Neurology 34
Replace Xiaoxuan Wang with:
Xiaoxuan Wang China
Paula M. Hauck United States
Shiqiang Xu China
Min Hong China
Jens Göpfert Germany
Yuzhou Yang United States
Haiyun Pan United States
Xiong Yang China
Megan J. Bowman United States
Hongli Dong China
Ran Gu relative to Xiaoxuan Wang China Xiaoxuan Wang's profile →
Citations per field
00.5×
Xiaoxuan Wang · 1×
Citations per year

Countries citing papers authored by Ran Gu

Since Specialization
Citations

This map shows the geographic impact of Ran Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ran Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Gu more than expected).

Fields of papers citing papers by Ran Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ran Gu. The network helps show where Ran Gu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Gu Line = papers co-authored together Ran Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 201978
3 202047
4 201847
5 200539
6 201738
7 202033
8 202129
9 202228
10 202028
11 200726
12 201926
13 202025
14 201924
15 202021
16 202018
17 202018
18 201818
19 202117
20 199316

About Ran Gu

Ran Gu is a scholar working on Molecular Biology, Plant Science, Cell Biology, Cancer Research and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 768 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (8 papers), Photosynthetic Processes and Mechanisms (7 papers), Plant Pathogens and Fungal Diseases (3 papers), Autophagy in Disease and Therapy (3 papers), Nuclear Receptors and Signaling (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Horticulture (31 citations), Plant Science (363 citations), Cancer Research (146 citations), Molecular Biology (469 citations) and Neurology (34 citations). Ran Gu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xiaolan Zhang, Gen Che, Zhongyi Wang, Zhihua Cheng, Xiaofeng Liu, Junjun Shen, Renyi Liu, Weiyuan Song, Xiang Qu and Huan Yao. Their work appears in journals such as Frontiers in Plant Science, Plant Science, Plant Disease, Oxidative Medicine and Cellular Longevity and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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